ropesegment dataset

ropesegment Bayesian Network

ropesegment Bayesian Network

Availability optimization of a dragline subsystem using Bayesian network. data

Format

A discrete Bayesian network to analyze the availability of the rope segment. Probabilities were given within the referenced paper. The vertices are:

  • DragRopeFault: (TRUE, FALSE);
  • DragChainLinkBroken: (TRUE, FALSE);
  • DragHitchShacklePinOut: (TRUE, FALSE);
  • DumpRopeFault: (TRUE, FALSE);
  • DumpSocketPinOut: (TRUE, FALSE);
  • HoistRopeSystem: (TRUE, FALSE);
  • HoistChainPinOut: (TRUE, FALSE);
  • DragSubsystem: (TRUE, FALSE);
  • DumpSubsystem: (TRUE, FALSE);
  • HoistSubsystem: (TRUE, FALSE);
  • RopeSegment: (TRUE, FALSE);

Returns

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Jana, D., Kumar, D., Gupta, S., & Gupta, K. K. (2024). Availability optimization of a dragline subsystem using Bayesian network. Journal of The Institution of Engineers (India): Series D, 105(1), 77-88.

  • Maintainer: Manuele Leonelli
  • License: MIT + file LICENSE
  • Last published: 2024-10-01

About the dataset

  • Number of columns: 11
  • Class: bn.fit, bn.fit.dnet

Column names and types (First 10)

  • DragChainLinkBroken:bn.fit.dnode
  • DragHitchShacklePinOut:bn.fit.dnode
  • DragRopeFault:bn.fit.dnode
  • DragSubsystem:bn.fit.dnode
  • DumpRopeFault:bn.fit.dnode
  • DumpSocketPinOut:bn.fit.dnode
  • DumpSubsystem:bn.fit.dnode
  • HoistChainPinOut:bn.fit.dnode
  • HoistRopeSystem:bn.fit.dnode
  • HoistSubsystem:bn.fit.dnode
  • RopeSegment:bn.fit.dnode